Advances in Supervised Classification Models

Name: Advances in Supervised Classification Models
Brand: VDM Verlag
SKU: 9783639367164
Price: 70.35 EUR
Availability: InStock

Semi-Naive Bayes Classifiers, Classification Trees and Applications to Genomics

Автор: Andres Masegosa, Andres Cano, Serafin Moral

Език:

Корици: С меки корици

Издател: VDM Verlag

Наличност: Налично при издателя, по поръчка

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70.35 € 137.59 лв

Supervised classification models allow to make predictions about a target random variable, which des...

Информация за книгата

Автор

Andres Masegosa, Andres Cano, Serafin Moral

Език

Английски език

Корици

Книга - С меки корици

Издадена

2011

страници

192

EAN

9783639367164

ISBN

3639367162

Enbook ID

06843517

Издател

VDM Verlag

Теглоt

290

Размери

152 x 229 x 11

Пълно описание

Supervised classification models allow to make predictions about a target random variable, which describes a feature of interest of some object, using the evidence provided by a set of descriptives variables about this object. For example, predict if an email is spam or not using the words it contains. The first part of this book presents two new contributions to the state of the art of these models. Firstly, a new semi-Naive Bayes classifier is presented which provides competitive predictions while requires very low memory resources. These properties make this model attractive for integration into devices with limited memory resources (e.g. mobile phones). The second contribution was a new Bayesian approach to the problem of learning classification trees. In the second part of this book, new supervised classification models based on the selection of small sets of predictive features were proposed and applied to the analysis of genomic data sets. More precisely, the classification in molecular subtypes of tumor samples which had a variant of lymphoma cancer ("Diffuse Large-B Cell Lymphoma") was approached.

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Advances in Supervised Classification Models

Semi-Naive Bayes Classifiers, Classification Trees and Applications to Genomics

Информация за книгата

Пълно описание

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